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<strong>GSI</strong>-UPGRADE-ACC-05 <strong>GSI</strong> SCIENTIFIC REPORT 2009<br />

Measurement of the Longitudinal Phase Space at UNILAC<br />

To deliver the required currents for FAIR an important<br />

goal is to improve the matching into the Alvarez section of<br />

the UNILAC. Besides simulated phase space data, crucial<br />

information about the beam parameters is provided by diagnostic<br />

devices. While there are several standard methods<br />

to access the four-dimensional transverse phase space information,<br />

the longitudinal degree of freedom is as important<br />

but an unequally more demanding measurement task.<br />

The current approach is based on the time-of-flight<br />

(TOF) measurement of single particles between two detectors<br />

(see Fig. 1), and constructing the longitudinal phase<br />

space via 2-dim histogramming using the arrival times at<br />

both detectors and UNILAC rf reference [1]. The energy<br />

information is extracted from the TOF between a MCP and<br />

a diamond detector, whereas the arrival time at the diamond<br />

with respect to the rf serves as a direct measure of the relative<br />

phase location between particles. Imposed by the limited<br />

distance (800 mm) between these detectors, a time resolution<br />

of only several tens of picoseconds is mandatory to<br />

resolve an rms energy spread of about 1% at 1.4 MeV/u.<br />

The TDC and discriminators are capable to provide a time<br />

resolution of about 50 ps rms. Additionally, signals from<br />

the diamond and MCP suffer from a broad pulse height<br />

spectrum and varying pulse shapes that significantly degrade<br />

time resolution.<br />

While the vertical projection of the longitudinal phase<br />

space distribution yields trustworthy bunch structure information,<br />

the limited energy resolution affects the measured<br />

size of the phase space, which results in an enlarged<br />

emittance ε and decreased covariance. Therefore<br />

the related correlation � �as<br />

described by the Twiss param-<br />

∆E<br />

eter α = −cov 〈E〉 , t /ε is smaller than expected from<br />

simulations and a plausible machine operation mode. To<br />

3<br />

Coulomb<br />

scattering at<br />

thin Ta target Collimator<br />

Gating Discriminators Amps<br />

Anode<br />

50<br />

T. Milosic 1 , P. Forck 1 , and D. Liakin 1,2<br />

1 <strong>GSI</strong>, Darmstadt, Germany; 2 ITEP, Moscow, Russia<br />

MCP<br />

2<br />

e -<br />

Diamond<br />

detector<br />

poly cryst.<br />

S 1<br />

Thin Al Al foil<br />

Figure 1: Single particles are detected indirectly at the<br />

MCP module (2) and directly at the diamond detector (1)<br />

whereas the UNILAC rf serves as timing reference (3).<br />

150<br />

Relative Energy Deviation<br />

Relative Energy Deviation<br />

0.08<br />

0.06<br />

0.04<br />

0.02<br />

0<br />

-0.02<br />

-0.04<br />

-0.06<br />

-0.08<br />

0.08<br />

0.06<br />

0.04<br />

0.02<br />

0<br />

-0.02<br />

-0.04<br />

-0.06<br />

-0.08<br />

a)<br />

Original Data (60k Events)<br />

-6 -4 -2 0 2 4 6<br />

Arrival time at Diamond detector [ns]<br />

-6 -4 -2 0 2 4 6<br />

Arrival time at Diamond detector [ns]<br />

[Twiss Parameter]<br />

α<br />

Correlation<br />

Relative Energy Deviation<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0.08<br />

0.06<br />

0.04<br />

0.02<br />

0<br />

-0.02<br />

-0.08<br />

Original Data<br />

Vertical Fit<br />

Deconvolved<br />

10 20 30 40 50 60 70 80 90<br />

Cutoff [% Integral Intensity]<br />

Vertical Gauss Fit<br />

-0.04<br />

-0.06 Analytic Deconvolution<br />

d)<br />

b) c)<br />

-6 -4 -2 0 2 4 6<br />

Arrival time at Diamond detector [ns]<br />

Figure 2: a) Plain data from DAQ. b) Reconstructed phase<br />

space using Gaussian fits to energy degree of freedom.<br />

c) Analytic deconvolution with σi,dec =<br />

�<br />

σ 2 i,fit − σ2 res<br />

for each vertical slice i (see text). d) Correlation α for<br />

original, fitted and deconvolved phase space vs. integral<br />

cutoff levels.<br />

improve the systematic energy broadening, deconvolution<br />

methods were investigated in order to disentangle the error<br />

contribution from the original phase space data. In Fig. 2<br />

an example of the original and deconvoluted data is shown<br />

from a high current Argon beam (6.5 mA) recorded during<br />

the HIPPI campaign at <strong>GSI</strong> [2]. Statistical noise, off-center<br />

vagabonding particles and the intrinsic low count rates are<br />

severe issues concerning a deconvolution approach. Furthermore,<br />

no pulse response is available from experimental<br />

data due to the lack of a monochromatic beam. Thus<br />

the pulse response is deduced from a consideration of error<br />

contribution based on a Gaussian model denoted by σres.<br />

This permits us to perform an analytic deconvolution of the<br />

energy information when vertical slices are also fitted with<br />

an Gaussian parameterization as depicted in Fig. 2. A consistent<br />

deconvolution of the energy distribution is achieved<br />

even for noisy data. Moreover, the correlation α changes<br />

significantly and approaches the expected value.<br />

As an alternative to the TOF measurement preliminary<br />

investigations of the calorimetric properties of a monocrystalline<br />

diamond detector have been performed using an<br />

Am-243 source. Preliminary analysis shows an energy resolution<br />

of about 1% for α particles at several MeV. The<br />

detector has been installed and will be tested soon.<br />

References<br />

[1] T. Milosic, P. Forck, D. Liakin, “Longitudinal Emittance<br />

Measurement using Particle Detectors”, DIPAC’09, Basel,<br />

May 2009, p. 330.<br />

[2] High Intensity Pulsed Proton Injectors (HIPPI), Joint Research<br />

Activity (JRA3) in the framework of CARE.

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